import os.path as osp
import subprocess
import sys
from collections import defaultdict
#
# import cv2
# import torch
#
#
# def get_build_config():
#     return torch.__config__.show()


def collect_env():
    """Collect the information of the running environments.

    Returns:
        dict: The environment information. The following fields are contained.

            - sys.platform: The variable of ``sys.platform``.
            - Python: Python version.
            - CUDA available: Bool, indicating if CUDA is available.
            - GPU devices: Device type of each GPU.
            - CUDA_HOME (optional): The env var ``CUDA_HOME``.
            - NVCC (optional): NVCC version.
            - GCC: GCC version, "n/a" if GCC is not installed.
            - PyTorch: PyTorch version.
            - PyTorch compiling details: The output of \
                ``torch.__config__.show()``.
            - TorchVision (optional): TorchVision version.
            - OpenCV: OpenCV version.
            - mmdet.cv_core: mmdet.cv_core version.
            - mmdet.cv_core Compiler: The GCC version for compiling mmdet.cv_core ops.
            - mmdet.cv_core CUDA Compiler: The CUDA version for compiling mmdet.cv_core ops.
    """
    env_info = {}
    env_info['sys.platform'] = sys.platform
    env_info['Python'] = sys.version.replace('\n', '')

    # cuda_available = torch.cuda.is_available()
    # env_info['CUDA available'] = cuda_available
    #
    # if cuda_available:
    #     devices = defaultdict(list)
    #     for k in range(torch.cuda.device_count()):
    #         devices[torch.cuda.get_device_name(k)].append(str(k))
    #     for name, device_ids in devices.items():
    #         env_info['GPU ' + ','.join(device_ids)] = name
    #
    #     from torch.utils.cpp_extension import CUDA_HOME
    #     env_info['CUDA_HOME'] = CUDA_HOME
    #
    #     if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
    #         try:
    #             nvcc = osp.join(CUDA_HOME, 'bin/nvcc')
    #             nvcc = subprocess.check_output(
    #                 f'"{nvcc}" -V | tail -n1', shell=True)
    #             nvcc = nvcc.decode('utf-8').strip()
    #         except subprocess.SubprocessError:
    #             nvcc = 'Not Available'
    #         env_info['NVCC'] = nvcc

    try:
        gcc = subprocess.check_output('gcc --version | head -n1', shell=True)
        gcc = gcc.decode('utf-8').strip()
        env_info['GCC'] = gcc
    except subprocess.CalledProcessError:  # gcc is unavailable
        env_info['GCC'] = 'n/a'

    # env_info['PyTorch'] = torch.__version__
    # env_info['PyTorch compiling details'] = get_build_config()

    # try:
    #     import torchvision
    #     env_info['TorchVision'] = torchvision.__version__
    # except ModuleNotFoundError:
    #     pass
    #
    # env_info['OpenCV'] = cv2.__version__

    return env_info

if __name__ == '__main__':
    print('aaa')
    for name, val in collect_env().items():
        print(f'{name}: {val}')